01516662

Component

The primary objective of this study is to compare the mode choice decisions between commuting and non-commuting trip chains and evaluate the uncertainties in the mode choice process. Based on the data obtained from a household survey in a medium-sized city in China, the travel activities in a whole day were classified into several types of trip chains. The multinomial logit (MNL) model was used to estimate the impacts of factors on the choices of trip modes which included walk, bike, public transit, and car. The entropy theory was brought in to evaluate the amount of uncertainty related to the mode choice decision for each traveler. The results showed that the mode choice decisions were quite different between commuting and non-commuting trip chains. The contributing factors and their impacts were found to be different between different chains. In commuting chains, the choice of car had the largest amount of uncertainty while the choice of public transit had the least uncertainty. In non-commuting chains, the bike choice had the largest uncertainty while the walk choice had the least uncertainty. Findings were discussed to help understand the decision process of mode choices between commuting and non-commuting trips.

This paper was sponsored by TRB committee ABE90 Transportation in the Developing Countries. Alternate title: Analysis of Mode Choice Decision and Choice Uncertainty Between Commuting and Noncommuting Trip Chains.

01503729

14-2409

English

17p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Commuting; Decision making; Households; Medium sized cities; Mode choice; Multinomial logits; Travel; Travel surveys; Uncertainty

Nonwork trips

China

Highways; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2014 Paper #14-2409

TRIS, TRB, ATRI

Jan 27 2014 2:51PM